Kihwan Choi
Papers
1
Total Citations
3
H-Index
1
About
Kihwan Choi is a researcher specializing in multi-robot systems, underwater autonomous vehicle (AUV) coordination, and sensor-based localization. His work focuses on enabling precise, real-time spatial awareness among robotic teams operating in challenging environments. In his most cited paper, "Localization Algorithm of Multiple-AUVs Utilizing Relative 3D Observations" (2022), Choi introduces a novel method for measuring relative position and orientation between two mobile robots using a dual binaural ultrasonic sensor system. This approach allows each robot to estimate its counterpart’s 3D pose by processing sonar signals between transmitters and receivers, advancing cooperative navigation without reliance on external infrastructure. While still early in his career, with 3 citations to date, this contribution lays critical groundwork for scalable underwater swarm operations. Choi’s work is notable for its practical sensor design and algorithmic integration, addressing key challenges in GPS-denied environments. His research holds promise for applications in ocean exploration, environmental monitoring, and autonomous fleet management, marking him as an emerging voice in the field of multi-agent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1